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Published on: August 25, 2017
Plant species sensitivity distributions for ozone exposure
T M W J van Goethem1, L B Azevedo, R van Zelm
1Department of Environmental Science, Institute for Water and Wetland Research, Radboud University Nijmegen, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands. tgoethem@science.ru.nl
This study developed Species Sensitivity Distributions (SSDs) for ozone exposure on plants. SSD-based critical levels were lower than current ones, indicating greater protection for plant species against ozone pollution.
Area of Science:
- Environmental toxicology
- Ecology
- Plant science
Background:
- Ozone is a significant air pollutant impacting natural vegetation.
- Existing critical levels for ozone may not adequately protect plant communities.
- Species Sensitivity Distributions (SSDs) offer a robust framework for ecological risk assessment.
Purpose of the Study:
- To derive Species Sensitivity Distributions (SSDs) for ozone exposure on different plant functional groups.
- To calculate and compare SSD-based critical ozone levels with existing standards.
- To estimate the potentially affected fraction of plant species in Northwestern Europe under ambient ozone concentrations.
Main Methods:
- Construction of SSDs for trees, annual grassland, and perennial grassland species using species-specific exposure-response data.
- Application of SSDs to derive critical levels for each species group.
- Spatially explicit estimation of the potentially affected fraction of plant species based on ambient ozone data.
Main Results:
- SSD-based critical levels for ozone were found to be lower than current critical levels.
- Conventional critical levels for ozone were associated with 8-20% affected plant species.
- Spatially explicit estimates of affected plant species fractions were successfully calculated for Northwestern Europe.
Conclusions:
- The SSD approach is effective for deriving critical ozone levels for natural vegetation.
- SSDs provide a more conservative and protective estimate of ozone impacts on plant communities.
- This methodology can be used to assess ozone risks across various plant communities and geographical areas.
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